DocumentCode
465818
Title
Structure Evaluation of Receptive Field Layer in TAM Network
Author
Hayashi, Isao ; Maeda, Toshiyuki
Author_Institution
Kansai Univ., Osaka
Volume
2
fYear
2006
fDate
8-11 Oct. 2006
Firstpage
1541
Lastpage
1547
Abstract
TAM (topographic attentive mapping) network is a biologically-motivated neural network with receptive fields of Gabor function. However, the receptive field´s layer is monotype, and there is a lack of performance for rotating visual images. In this paper, we formulate four TAM networks with multilayer structure of extensive receptive fields. We discuss their performance and show the usefulness of TAM network using some examples of character recognition.
Keywords
neural nets; optical character recognition; Gabor function; TAM network; character recognition; neural network; receptive field layer; structure evaluation; topographic attentive mapping; visual image; Cells (biology); Character recognition; Cybernetics; Detectors; Filtering; Humans; Multi-layer neural network; Neural networks; Retina; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location
Taipei
Print_ISBN
1-4244-0099-6
Electronic_ISBN
1-4244-0100-3
Type
conf
DOI
10.1109/ICSMC.2006.384936
Filename
4274070
Link To Document